The rapid evolution of future technologies & innovations in oil and gas is driving efficiency, safety, and sustainability. Autonomous drilling rigs, AI-powered reservoir simulations, and advanced enhanced oil recovery techniques are revolutionizing exploration and production. Nanotechnology-based catalysts and smart polymers are improving refining efficiency and material performance. Renewable energy integration, hydrogen economy advancements, and next-generation carbon capture solutions are redefining the industry's future. Emerging breakthroughs in AI-driven subsurface imaging and autonomous robotic maintenance are enhancing operational efficiency. The next decade will see greater adoption of modular refinery designs and digitalized drilling operations to reduce costs and environmental impact.
Selim Sanad Shaker
Geopressure Analysis Services, United States
Saim Memon
Sanyou London Pvt Ltd, United Kingdom
Nur Hassan
Central Queensland University, Australia
Selim Sanad Shaker
Geopressure Analysis Services, United States
Nur Hassan
Central Queensland University, Australia
Matthew Godfrey
Enventure Global Technology, United States
Barbara Diaz
Automa Srl, ItalySubmit your abstract Today
Title : The Vacuum Insulated Heatable Curtain (VIHC): From conceptual invention to market deployment as a cost-effective dual solution for window heat loss reduction and localised radiant comfort
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Hydrogen production from depleted or unproductive oil and gas reservoirs
Cleveland M Jones, Fronteira Energia Ltda, Brazil
Title : Predicting drilling challenges and hazards due to subsurface pressure’s drifting
Selim Sanad Shaker, Geopressure Analysis Services, United States
Title : Transforming waste plastic into hydrogen: Progress, challenges, and future directions in pyrolysis-based integrated pathways
Nur Hassan, Central Queensland University, Australia
Title : Novel expandable liner hanger platform for advanced liner drilling and reaming
Matthew Godfrey, Enventure Global Technology, United States
Title : From empirical decline to intelligent forecasting: A hybrid deep learning framework embedding arps physics for unconventional tight-gas reservoir production prediction
Emmanuel Chibueze Obasi, University of Wyoming, United States